pylandtemp is a Python tool for retrieving land surface temperature from NASA's Landsat 8 satellite imagery using the mono-window and split-window techniques in literature. Additionally, it also provides multiple methods for computing land surface emissivity. It is targeted towards supporting research and science workflows in many fields including climate science, earth sciences, remote sensing, geospatial data science, environmental studies, among others.
Even though only Landsat 8 images are currently 'officially' supported, the methods available via this Python tool can be applied to other dataset including ASTER and MODIS.
- December 2021: version 0.0.1-alpha.1 pre-release version is out on PyPI. Find it here
- December 2021: Implementing tutorial notebooks based on the different methods. Find them here
pip install pylandtemp
pylandtemp.split_window(...)
| Algorithm | key |
|---|---|
| Jiminez-Munoz et al. (2014) | 'jiminez-munoz' |
| Coll C. et al. (1997) | 'coll-caselles' |
| Sobrino et al. (1993) | 'sobrino-1993' |
| Kerr et al. (1992) | 'kerr' |
| McClain et al. (1985) | 'mc-clain' |
| Price (1984) | 'price' |
pylandtemp.single_window(...)
| Algorithm | key |
|---|---|
| Ugur Avdan et al. (2014) | 'mono-window' |
pylandtemp.emissivity(...)
| Algorithm | key |
|---|---|
| Gopinadh Rongali et al. (2018) | 'gopinadh' |
| Ugur Avdan et al. (2014) | 'advan' |
| Xiaolei Yu et al. (2014) | 'xiaolei' |
The notebooks here are a good place to start.
All kinds of contributions are welcome --- development of enhancements, bug fixes, documentation, tutorial notebooks, new methods, new data, etc....
A guide to get you started with contributing will soon be made available.
@Misc{pylandtemp,
author = {Oladimeji Mudele},
title = {pylandtemp - a Python tool for retrieving land surface temperature from Landsat 8 satellite imagery},
howpublished = {GitHub},
year = {2021},
url = {https://github.com/pylandtemp/pylandtemp}
}
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